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arXiv 2024年

作者： Huang, Po-Han Chen, Shiqian Hartwig, Oliver Marschner, David E. Duesberg, Georg S. Stemme, Göran Li, Jiantong Gylfason, Kristinn B. Niklaus, Frank Division of Micro and Nanosystems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden Division of Electronics and Embedded Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Kista16440 Sweden Institute of Physics EIT 2 Faculty of Electrical Engineering and Information Technology University of the Bundeswehr Munich & SENS Research Center Neubiberg85577 Germany

Hierarchical structures are abundant in nature, such as in the superhydrophobic surfaces of lotus leaves and the structural coloration of butterfly wings. They consist of ordered features across multiple size scales, and their unique properties have attracted enormous interest in wide-ranging fields, including energy storage, nanofluidics, and nanophotonics. Femtosecond lasers, capable of inducing various material modifications, have shown promise for manufacturing tailored hierarchical structures. However, existing methods such as multiphoton lithography and 3D printing using nanoparticle-filled inks typically involve polymers and suffer from high process complexity. Here, we demonstrate 3D printing of hierarchical structures in inorganic silicon-rich glass featuring self-forming nanogratings. This approach takes advantage of our finding that femtosecond laser pulses can induce simultaneous multiphoton crosslinking and self-formation of nanogratings in hydrogen silsesquioxane (HSQ). The 3D printing process combines the 3D patterning capability of multiphoton lithography and the efficient generation of periodic structures by the self-formation of nanogratings. We 3D-printed micro-supercapacitors with large surface areas and a remarkable areal capacitance of 1 mF/cm2 at an ultrahigh scan rate of 50 V/s, thereby demonstrating the utility of our 3D printing approach for device applications in emerging fields such as energy storage. Copyright © 2024, The Authors. All rights reserved.

关键词： 3D printing

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Analyzing Land Cover and Land Use Changes Using Remote Sensing Techniques: A Temporal Analysis of Climate Change Detection with Google Earth Engine

Analyzing Land Cover and Land Use Changes Using Remote Sensi...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Mozina Afzal Kamran Ali Mumraiz Khan Kasi Masood Ur Rehman Mohammad Ali Khoshkholgh Bushra Haq Syed Ahmed Shah Balochistan University of Information Technology Engineering and Management Sciences Quetta Pakistan Faculty of Science and Technology Middlesex University London UK Department of Computer Science Balochistan University of Information Technology Engineering and Management Sciences Quetta Pakistan Department of Electronic Engineering University of Glasgow Glasgow UK Lahore University of Management Sciences Lahore Pakistan

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

The detection of changes in land cover and land use (LCLU) is crucial for various geospatial applications, including urban development and environmental management. One vital aspect of LCLU research involves identifying modifications in impervious surface cover, which has significantly increased due to global economic growth and the rising urban population in many parts of the world. This investigation employs Landsat 9 OLI- 2/TIRS-2 imagery with a 30m spatial resolution to map structures in the Ziarat District of Pakistan, encompassing forests, water bodies, and barren land. It aims to detect changes in tree cover and canopy height. A time series of Landsat 9 OLI-2/TIRS-2 images were utilized to create change detection and land cover maps. The Analysis of Land Cover and Land Use (LCLU) for the Ziarat District was conducted using the GEE platform. The satellite images were classified into broad land cover classes, which include impervious surfaces, forest/tree cover, grassland/cropland, and water. The generated change detection map facilitates the identification of locations that have undergone modifications due to new constructions, offering valuable insights for the implementation of urban development policies and disaster management on a global scale.

关键词： Climate change Infrared sensors Land surface Time series analysis Spatial resolution Social factors Satellite images Geospatial analysis Environmental management Disaster management

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computer-aided system for extending the performance of diabetes analysis and prediction 7

Computer-aided system for extending the performance of diabe...

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7th International Conference on Software engineering and computer Systems and 4th International Conference on Computational Science and information Management, ICSECS-ICOCSIM 2021

作者： Murad, Saydul Akbar Azmi, Zafril Rizal M Hakami, Zaid Hafiz Prottasha, Nusrat Jahan Kowsher, Md Universiti Malaysia Pahang Faculty of Computing Malaysia Jazan University Faculty of Computer Science and Information Technology Jazan Saudi Arabia Daffodils International University Department of Computer Science and Engineering Bangladesh Noakhali Science and Technology University Department of Applied Mathematics Bangladesh

ISBN: (纸本)9781665414074

Every year, diabetes causes health difficulties for hundreds of millions of individuals throughout the world. Patients' medical records may be utilized to quantify symptoms, physical characteristics, and clinical laboratory test data, which may then be utilized to undertake biostatistics analysis to uncover patterns or characteristics that are now undetected. In this work, we have used six machine learning algorithms to give the prediction of diabetes patients and the reason for diabetes are illustrated in percentage using pie charts. The machine learning algorithms used to predict the risks of Type 2 diabetes. User can self-assess their diabetes risk once the model has been trained. Based on the experimental results in AdaBoost Classifier's, the accuracy achieved is almost 98 percent. © 2021 IEEE.

关键词： Forecasting

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Joint Optimization of Sensing and Communication for Digital Twin Edge Networks

Joint Optimization of Sensing and Communication for Digital ...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Yi Chen Zheng Chang Timo Hämäläinen Geyong Min School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Faculty of Information Technology University of Jyväskylä Jyväskylä Finland Department of Computer Science University of Exeter Exeter U.K.

Digital twin (DT) technology enables the replica of physical objects and environmental statuses of a physical system, which can be used for further simulation, analysis, and prediction. By combining DT with mobile edge computing (MEC), a new paradigm called digital twin edge networks (DITEN) is able to fill the gap between physical edge networks and digital systems and provide novel services to physical devices. Due to possible failure in data sensing, balancing sensing time and successful sensing rate needs to be considered to ensure the freshness of collected data in DITEN. Additionally, an optimal data scheduling policy is necessary to ensure efficient communication between physical devices and the edge server while maintaining the accuracy of DT. Therefore, this paper proposes a joint optimization problem for the sensing and communication for DITEN. Due to the nonconvex nature of the formulated problem, we decompose the original problem into three subproblems, and an iterative optimization algorithm is proposed to minimize the system overhead of DNT realization. The effectiveness of the proposed method is evaluated through extensive simulations.

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A Self-Balanced Five-Level Buck PFC EV Rectifier

A Self-Balanced Five-Level Buck PFC EV Rectifier

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Annual Conference of Industrial Electronics Society

作者： Ritika Agarwal Anekant Jain Krishna Kumar Gupta Sanjay K. Jain Pallavee Bhatnagar Federico Martin Ibanez Srete Nikolovski Department of Electrical and Instrumentation Engineering Thapar Institute of Engineering & Technology Patiala India Department of Mechatronics Manipal Institute of Technology MAHE Manipal India Center for Energy Science and Technology Skolkovo Institute of Science and Technology Moscow Russia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia

This paper introduces a new self-balancing buck PFC Multilevel Rectifier based on a five-level Switched Capacitors (SCs) architecture. The proposed design offers a broad range of output voltage, enabling operation with various loads and accommodating both single and double/dual output modes. Additionally, it ensures effective load voltage balancing, even when the both loads have different values. The rectifier functions in buck operation mode and provides extensive output voltage regulation, making it suitable for simultaneous electric vehicle (EV) battery charging. To evaluate the performance of proposed rectifier this paper explores the operating principle, modulation strategy, closed-loop control, and experimental validation with same and different load variation scenarios.

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The Crucial Function that Clouds Access Security Brokers Play in Ensuring the Safety of Cloud Computing

The Crucial Function that Clouds Access Security Brokers Pla...

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Security of information and Networks (SIN), International Conference on

作者： Vidhyasagar Bs M. Arvindhan Sivakumar Kalimuthu Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India School of Computing science and Engineering Galgotias University Delhi India Faculty of Computer Science and Information Technology (FOCSIT) University Putra Malaysia Malaysia

The cloud is a vast network of interconnected servers and other devices that provide computing, communication, and storage services. The cloud market is dynamic, with ever-changing user needs and resource demands. Resource availability may be impacted by changes in the market, such as the addition or removal of service providers. When it comes to policies, standards, and preferences, cloud service providers and new line users are worlds apart. Even though several CSPs provide the same services, new line Access to and pricing for these services can seem different from one provider to the next. There are many advantages to using cloud computing, such as reduced overhead due to centralization, the ability to work remotely from anywhere with an Internet connection, and increased productiv-ity. More research is needed into the cloud's privacy and security risks. To manage the degree of dimensionality, heterogeneity, and ambiguity associated with cloud services, a Cloud Access Security Broker (CASB) can be deployed between consumers of cloud services and cloud applications in a cloud computing (CC) environment. They allow the company to expand its security measures beyond its structure, into third-party software and data storage. To better understand how service users deploy CASBs to provide acceptable security solutions for cloud systems, and to figure out the elements that support or hinder the adoption of CASBs by organizations using remote computing technologies, an analysis based on themes was performed. This paper will provide an in-depth analysis of the security challenges experienced by various stakeholders in cloud computing, including cloud service providers, data owners, and cloud environments.

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Swaying Tree Simulation by Slicing Partition

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Chinese Journal of Electronics 2020年第5期29卷 826-832页

作者： TANG Jing WANG Yinghui WANG Ningna NING Xiaojuan LYU Ke SUI Liansheng SHI Zhenghao Faculty of Automation and Information Engineering Xi'an University of Technology School of Artificial Intelligence and Computer Science Jiangnan University The University of Texas at Dallas School of Engineering Sciences University of Chinese Academy of Sciences

The key of swaying tree simulation is to capture the essence of the interaction between wind and tree, which has not received much attention from scholars. In this paper, we present a method for simulating swaying tree based on slicing partition. The tree is divided into multiple "slices", and then jointly moved to simulate the tree swaying in wind. By slicing partition,the motion of any slice is independent of the others concurrently, which provides a parallel spatial topology for real-time calculation. Moreover, based on the fact that the wind will blow to a tree partly rather than the whole, partial swayings of the tree are also simulated. The experimental results show the correctness and effectiveness of our method.

关键词： Slicing Damping slicing partition geophysics computing swaying tree simulation Tree swaying wind vegetation

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Factors influencing SaaS adoption by MSMEs 7

Factors influencing SaaS adoption by MSMEs

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7th International Conference on Software engineering and computer Systems and 4th International Conference on Computational Science and information Management, ICSECS-ICOCSIM 2021

作者： Ayuningtyas, Ayuningtyas Azmi, Zafril Rizal M Abdullah Arshah, Ruzaini Ahmad, Muhammad Aliif Khubrani, Mousa Faculty of Technology and Informatics Universitas Dinamika Surabaya East Java Indonesia Faculty of Computing Universiti Malaysia Pahang Malaysia School of Computing Faculty of Engineering Universiti Teknologi Malaysia Malaysia Faculty of Computer Science Information Technology Jazan University Saudi Arabia

ISBN: (纸本)9781665414074

Cloud computing has been around for quite long, yet some organizations have never used it, especially MSMEs in Indonesia. Several factors hinder its implementation by MSMEs, including unequal infrastructure for using the internet in Indonesia. This paper assesses the literature on cloud computing, SaaS, e-Commerce, and e-wallet to determine the initial factors that affect technology implementation. The results showed that the frameworks widely used to obtain and assess variables include the DOI, TAM, and TOE. Furthermore, compatibility and the pressure from competitors to adopt technology are the highly considered variables. Among the factors, perceived usefulness and ease of use is also deemed by MSMEs in implementing e-commerce and e-wallet. © 2021 IEEE.

关键词： Software as a service (SaaS)

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Vision Transformer Based Semantic Communications for Next Generation Wireless Networks

arXiv

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arXiv 2025年

作者： Mohsin, Muhammad Ahmed Jazib, Muhammad Alam, Zeeshan Khan, Muhmmad Farhan Saad, Muhammad Jamshed, Muhammad Ali Department of Electrical Engineering Stanford University StanfordCA United States PIEAS Pakistan Faculty of Computer Science University of New Brunswick NB Canada School of Computer Science and Information Technology University College Cork Cork Ireland NUST Pakistan College of Science and Engineering University of Glasgow United Kingdom

In the evolving landscape of 6G networks, semantic communications are poised to revolutionize data transmission by prioritizing the transmission of semantic meaning over raw data accuracy. This paper presents a Vision Transformer (ViT)based semantic communication framework that has been deliberately designed to achieve high semantic similarity during image transmission while simultaneously minimizing the demand for bandwidth. By equipping ViT as the encoder-decoder framework, the proposed architecture can proficiently encode images into a high semantic content at the transmitter and precisely reconstruct the images, considering real-world fading and noise consideration at the receiver. Building on the attention mechanisms inherent to ViTs, our model outperforms Convolution Neural Network (CNNs) and Generative Adversarial Networks (GANs) tailored for generating such images. The architecture based on the proposed ViT network achieves the Peak Signal-to-noise Ratio (PSNR) of 38 dB, which is higher than other Deep Learning (DL) approaches in maintaining semantic similarity across different communication environments. These findings establish our ViT-based approach as a significant breakthrough in semantic communications. Copyright © 2025, The Authors. All rights reserved.

关键词： Bandwidth

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Multiple Knowledge Graphs Semantic Interaction based on Graph Embedding and Matching Processing

Multiple Knowledge Graphs Semantic Interaction based on Grap...

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IEEE International Conference on Data Science in Cyberspace (DSC)

作者： Ling Wang Haoyu Hao Xue Yan Xiwei Wang Tie Hua Zhou Keun Ho Ryu School of Computer Science Northeast Electric Power University Jilin China Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Vietnam College of Electrical and Computer Engineering Chungbuk National University Cheongju Republic of Korea

ISBN: (数字)9798350391367

ISBN: (纸本)9798350391374

With the rapid development of natural language processing technology, various fields are constructing domain knowledge graphs and trying to integrate multi-domain knowledge graphs to better grasp the information of each domain. Aiming at this trend, we proposed the GE-CSM model, which is a novel model that combines graph embedding and context semantic matching. By combining entity-relationship graph embedding and context semantic matching, the model is able to understand the relationships between entities more accurately and provide more semantic information based on the context. Finally, through experimental validation, the effectiveness of the model in performing multiple knowledge graph integration is demonstrated, and the response time and semantic richness of the downstream Q&A task are improved, proving its potential in enhancing semantic interaction performance.

关键词： Accuracy Semantics Cyberspace Knowledge graphs Data science Market research Natural language processing Time factors Context modeling

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